metadata
base_model: BAAI/bge-base-en-v1.5
datasets: []
language: []
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@3
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@3
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@3
- dot_recall@5
- dot_recall@10
- dot_ndcg@10
- dot_mrr@10
- dot_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:98400
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: >-
How did the actions of central banks influence investor sentiment and
market expectations regarding future interest rates?
sentences:
- >-
We may be adversely affected by increased governmental and regulatory
scrutiny or negative publicity. Governmental scrutiny from regulators,
legislative bodies and law enforcement agencies with respect to matters
relating to compensation, our business practices, our past actions and
other matters remains at high levels. Political and public sentiment
regarding financial institutions has in the past resulted and may in the
future result in a significant amount of adverse press coverage, as well
as adverse statements or charges by regulators or other government
officials. Press coverage and other public statements that assert some
form of wrongdoing (including, in some cases, press coverage and public
statements that do not directly involve us) often result in some type of
investigation by regulators, legislators and law enforcement officials
or in lawsuits. Responding to these investigations and lawsuits,
regardless of the ultimate outcome of the proceeding, is time-consuming
and expensive and can divert the time and effort of our senior
management from our business. Penalties and fines sought by regulatory
authorities have increased substantially and certain regulators have
been more likely in recent years to commence enforcement actions or to
support legislation targeted at the financial services industry.
Governmental authorities may also be more likely to pursue criminal or
other actions, including seeking admissions of wrongdoing or guilty
pleas, in connection with the resolution of an inquiry or investigation
to the extent a company is viewed as having previously engaged in
criminal, regulatory or other misconduct. Adverse publicity,
governmental scrutiny and legal and enforcement proceedings can also
have a negative impact on our reputation and on the morale and
performance of our employees, which could adversely affect our
businesses and results of operations. Further, we are subject to
regulatory settlements, orders and feedback that require significant
remediation activities and enhancements to existing controls, systems
and procedures, which has required and will require us to commit
significant resources, including hiring, as well as testing the
operation and effectiveness of new controls, policies and procedures.
The failure to complete these remediation activities in a timely manner
could lead to higher operating expenses, reputational damage and other
negative consequences.The financial services industry generally and our
businesses in particular have been subject to negative publicity. Our
reputation and businesses may be adversely affected by negative
publicity or information regarding our businesses and personnel, whether
or not accurate or true, that may be posted on social media or other
internet forums or published by news organizations. Postings on these
types of forums may also adversely impact risk positions of our clients
and other parties that owe us money, securities or other assets and
increase the chance that they will not perform their obligations to us
or reduce the revenues we receive from their use of our services. The
speed and pervasiveness with which information can be disseminated
through these channels, in particular social media, may magnify risks
relating to negative publicity. The rapid dissemination of negative
information through social media, in part, is believed to have led to
the collapse of Silicon Valley Bank (SVB). SVB suffered a level of
deposit withdrawals within a time period not previously experienced by a
financial institution. We could also be subject to rapid deposit
withdrawals or other outflows as a result of negative social media posts
or other negative publicity . Substantial civil or criminal liability or
significant regulatory action against us could have material adverse
financial effects or cause us significant reputational harm, which in
turn could seriously harm our business prospects. We face significant
legal risks in our businesses, and the volume of claims and amount of
damages and penalties claimed in litigation and regulatory proceedings
against financial institutions remain high. See Notes 18 and 27 to the
consolidated financial statements in Part II, Item 8 of this Form 10-K
for information about certain of our legal and regulatory proceedings
and investigations. We have seen legal claims by consumers and clients
increase in a market downturn and employment-related claims increase
following periods in which we have reduced our headcount. Additionally,
governmental entities have been plaintiffs and are parties in certain of
our legal proceedings, and we may face future civil or criminal actions
or claims by the same or other governmental entities, as well as
follow-on civil litigation that is often commenced after regulatory
settlements.THE GOLDMAN SACHS GROUP, INC. AND SUBSIDIARIES Goldman Sachs
2023 Form 10-K 49
- >-
Vanguard U.K. Gilt UCITS ETF Managed by Vanguard Global Advisers,
LLC.713 Investment Objective Vanguard U.K. Gilt UCITS ETF seeks to track
the performance of the Bloomberg Sterling Gilt Float Adjusted Index, a
market-weighted index of UK government fixed income securities
denominated in pound sterling. Performance Summary (unaudited) The
Performance Summary does not form part of the Financial Statements. •
Inflation and policymakers’ efforts to rein it in took centre stage for
the financial markets during much of the 12 months ended 30 June 2023. •
Early in the period, energy prices continued to cool amid an outlook for
slower economic growth, but price increases then broadened to other
categories, notably the services sector, which felt the effects of tight
labour markets. Central banks including the US Federal Reserve, the
European Central Bank and the Bank of England reacted to the prospect of
inflation remaining stubbornly high by aggressively hiking interest
rates even as their actions fanned fears of a global recession down the
road. • Although progress was slow, signs of inflation moderating later
in the period led several major central banks to slow the pace of their
interest rate hikes or even hit the pause button. • Bonds suffered early
in the fiscal year amid aggressive rate hiking and later when markets
began to anticipate that rates would remain higher for longer. With
rising yields pushing prices down, global bonds ended the 12 months in
negative territory. • In this environment, the ETF ’s benchmark index
returned –16.59% for the period. • Returns were negative across all
maturities. Gilts maturing in less than five years posted single-digit
declines, while all others posted declines in the double digits. • Gilts
underperformed the broad UK investment-grade bond market. Benchmark
returns in the commentary above are in British pounds. Benchmark:
Bloomberg Sterling Gilt Float Adjusted Index Total Returns Periods Ended
30 June 2023 (Annualised for periods over one year) One Year Five
YearsTen Years or Since Inception1 EUR-Hedged Accumulating -17.43 % —
-13.62 % Benchmark -17.47 — -13.64 Tracking Difference* 0.04 GBP
Accumulating -16.61 % — -5.94 % Benchmark -16.59 — -5.89 Tracking
Difference* -0.02 GBP Distributing -16.61 % -4.88 % 0.07 % Benchmark2
-16.59 -4.83 0.14 Tracking Difference* -0.02 Each benchmark is in its
respective currency. Sources: Vanguard Global Advisers, LLC, and
Bloomberg. Returns are based on NAV with income reinvested. All of the
returns in this report represent past performance, which is not a
guarantee of future results that may be achieved by the fund. For
performance data current to the most recent month-end, which may be
higher or lower than that cited, visit our website at
http://global.vanguard.com. Note, too, that both investment returns and
principal value can fluctuate widely, so an investor 's shares, when
sold, could be worth more or less than their original cost. * The
tracking difference between the fund return and the index return over a
stated period of time can be attributed to a number of factors,
including, without limitation, small differences in weightings, trading
activity, transaction costs and differences in the valuation and
withholding tax treatment between the fund and the index vendor. 1
Since-inception returns: EUR-Hedged Accumulating, 28 August 2020; GBP
Accumulating, 19 February 2019. 2 Bloomberg Barclays Global Aggregate
U.K. Government Float Adjusted Index through 31 March 2016, Bloomberg
Sterling Gilt Float Adjusted Index thereafter.
- >-
818 Vanguard USD Corporate Bond UCITS ETF Principal US Dollars ($)
CouponMaturity DateFair Value US Dollars ($)% of Total Net Assets
Capital One Financial Corp. 235,000 3.27% 1/3/2030 200,081 0.01% Bank of
New York Mellon Corp. 210,000 3.85% 28/4/2028 200,072 0.01% T-Mobile
USA, Inc. 250,000 2.25% 15/11/2031 200,037 0.01% Astrazeneca Finance LLC
200,000 4.88% 3/3/2028 199,915 0.01% Aetna, Inc. 233,000 4.50% 15/5/2042
199,838 0.01% MassMutual Global Funding II 200,000 5.05% 7/12/2027
199,614 0.01% Dell International LLC/EMC Corp. 200,000 5.25% 1/2/2028
199,599 0.01% Newmont Corp. 243,000 2.25% 1/10/2030 199,544 0.01%
Caterpillar Financial Services Corp. 200,000 4.80% 6/1/2026 199,539
0.01% Nucor Corp. 210,000 3.95% 1/5/2028 199,494 0.01% Pfizer, Inc.
211,000 2.75% 3/6/2026 199,437 0.01% HSBC USA, Inc. 200,000 5.63%
17/3/2025 199,421 0.01% Equinix, Inc. 223,000 1.45% 15/5/2026 199,361
0.01% UnitedHealth Group, Inc. 200,000 5.00% 15/10/2024 199,331 0.01%
Altria Group, Inc. 255,000 4.25% 9/8/2042 199,273 0.01% JPMorgan Chase &
Co. 210,000 4.85% 1/2/2044 199,236 0.01% Fifth Third Bancorp 200,000
6.36% 27/10/2028 199,177 0.01% Corebridge Financial, Inc. 209,000 3.50%
4/4/2025 199,170 0.01% Energy Transfer LP 200,000 5.50% 1/6/2027 199,121
0.01% Apple, Inc. 200,000 4.42% 8/5/2026 199,094 0.01% Walt Disney Co.
220,000 2.20% 13/1/2028 199,079 0.01% Georgia-Pacific LLC 225,000 0.95%
15/5/2026 199,066 0.01% Philip Morris International, Inc. 200,000 5.00%
17/11/2025 199,057 0.01% Foundry JV Holdco LLC 200,000 5.88% 25/1/2034
198,995 0.01% Apple, Inc. 200,000 4.30% 10/5/2033 198,990 0.01% John
Deere Capital Corp. 200,000 4.70% 10/6/2030 198,715 0.01% Crown Castle,
Inc. 205,000 3.20% 1/9/2024 198,654 0.01% Nestle Holdings, Inc.
- source_sentence: >-
Calculate the total value of bonds issued by companies with a coupon rate
of 1.50% and discuss the potential attractiveness of these bonds to
investors.
sentences:
- >-
774 Vanguard USD Corporate Bond UCITS ETF Principal US Dollars ($)
CouponMaturity DateFair Value US Dollars ($)% of Total Net Assets
TotalEnergies Capital International SA 150,000 2.99% 29/6/2041 114,035
0.01% Banque Federative du Credit Mutuel SA 100,000 4.52% 13/7/2025
97,283 0.01% TotalEnergies Capital International SA 125,000 3.39%
29/6/2060 91,711 0.01% BPCE SA 135,000 3.58% 19/10/2042 89,713 0.01% Air
Liquide Finance SA 115,000 3.50% 27/9/2046 88,618 0.01% WEA Finance
LLC/Westfield UK & Europe Finance plc 110,000 4.75% 17/9/2044 77,253
0.00% Pernod Ricard SA 75,000 3.25% 8/6/2026 72,024 0.00% Societe
Generale SA 75,000 1.38% 8/7/2025 68,268 0.00% Societe Generale SA
75,000 5.63% 24/11/2045 60,538 0.00% BPCE SA 75,000 3.65% 14/1/2037
59,575 0.00% Legrand France SA 50,000 8.50% 15/2/2025 52,327 0.00%
Societe Generale SA 50,000 3.65% 8/7/2035 39,945 0.00% Lafarge SA 35,000
7.13% 15/7/2036 38,180 0.00% - - - - 27,649,631 1.69% Germany 1.17% (30
June 2022: 1.46%) Deutsche Telekom International Finance BV 760,000
8.75% 15/6/2030 910,393 0.06% Bayer US Finance II LLC 715,000 4.38%
15/12/2028 678,134 0.04% Bayer US Finance II LLC 550,000 4.25%
15/12/2025 529,590 0.03% Mercedes-Benz Finance North America LLC 325,000
8.50% 18/1/2031 403,840 0.03% Volkswagen Group of America Finance LLC
410,000 4.75% 13/11/2028 396,008 0.02% Deutsche Bank AG 450,000 2.31%
16/11/2027 387,091 0.02% Deutsche Bank AG 401,000 3.96% 26/11/2025
382,263 0.02% Deutsche Bank AG 430,000 2.13% 24/11/2026 381,773 0.02%
Volkswagen Group of America Finance LLC 410,000 1.25% 24/11/2025 369,307
0.02% EMD Finance LLC 360,000 3.25% 19/3/2025 345,003 0.02% BMW US
Capital LLC 350,000 3.90% 9/4/2025 341,419 0.02% Deutsche Bank AG
405,000 3.55% 18/9/2031 336,477 0.02% Deutsche Bank AG 335,000 6.72%
18/1/2029 336,195 0.02% BMW US Capital LLC 350,000 4.15% 9/4/2030
334,517 0.02% Siemens Financieringsmaatschappij NV 350,000 2.35%
15/10/2026 322,332 0.02% Siemens Financieringsmaatschappij NV 350,000 4.
- >-
300,000 0.50% 15/9/2031 219,934 0.01% Nestle Finance International Ltd.
320,000 0.88% 14/6/2041 214,208 0.01% Raiffeisen Schweiz Genossenschaft
200,000 4.84% 3/11/2028 200,305 0.01% Holcim Finance Luxembourg SA
250,000 0.63% 6/4/2030 199,592 0.01% Holcim Finance Luxembourg SA
200,000 1.50% 6/4/2025 190,741 0.01% Givaudan Finance Europe BV 200,000
1.00% 22/4/2027 180,794 0.01% Argentum Netherlands BV for Zurich
Insurance Co., Ltd. 200,000 2.75% 19/2/2049 174,999 0.01% Sika Capital
BV 200,000 1.50% 29/4/2031 169,245 0.01% Givaudan Finance Europe BV
200,000 1.63% 22/4/2032 167,542 0.01% Tyco Electronics Group SA 200,000
0.00% 16/2/2029 163,007 0.01% ABB Finance BV 200,000 0.00% 19/1/2030
158,826 0.01% Nestle Finance International Ltd. 200,000 0.63% 14/2/2034
152,119 0.01% ELM BV for Swiss Life Insurance & Pension Group 160,000
4.50% Perpetual 152,096 0.01% Novartis Finance SA 100,000 1.63%
9/11/2026 93,717 0.01% Holcim Finance Luxembourg SA 100,000 0.13%
19/7/2027 87,370 0.01% Adecco International Financial Services BV
100,000 1.00% 21/3/2082 76,895 0.00% Zurich Finance Ireland Designated
Activity Co. 100,000 1.63% 17/6/2039 74,378 0.00% Nestle Finance
International Ltd. 100,000 0.00% 3/3/2033 73,483 0.00% Nestle Finance
International Ltd. 100,000 0.38% 3/12/2040 61,797 0.00% - - - -
54,507,790 3.47% United Kingdom 8.27% (30 June 2022: 9.16%) BP Capital
Markets plc 2,100,000 3.25% Perpetual 1,935,372 0.12% HSBC Holdings plc
2,060,000 0.31% 13/11/2026 1,863,645 0.12%
- >-
PART II Item 8 68 (In millions) Fair Value Level Adjusted Cost Basis
Unrealized Gains Unrealized Losses Recorded Basis Cash and Cash
Equivalents Short -term Investments Equity Investments June 30, 2022
Changes in Fair Value Recorded in Other Comprehensive Income Commercial
paper Level 2 $ 2,500 $ 0 $ 0 $ 2,500 $ 2,498 $ 2 $ 0 Certificates of
deposit Level 2 2,071 0 0 2,071 2,032 39 0 U.S. government securities
Level 1 79,696 29 (2,178 ) 77,547 9 77,538 0 U.S. agency securities
Level 2 419 0 (9 ) 410 0 410 0 Foreign government bonds Level 2 506 0
(24 ) 482 0 482 0 Mortgage - and asset -backed securities Level 2 727 1
(30 ) 698 0 698 0 Corporate notes and bonds Level 2 11,661 4 (554 )
11,111 0 11,111 0 Corporate notes and bonds Level 3 67 0 0 67 0 67 0
Municipal securities Level 2 368 19 (13 ) 374 0 374 0 Municipal
securities Level 3 103 0 (6 ) 97 0 97 0 Total debt investments $ 98,118
$ 53 $ (2,814 ) $ 95,357 $ 4,539 $ 90,818 $ 0 Changes in Fair Value
Recorded in Net Income Equity investments Level 1 $ 1,590 $ 1,134 $ 0 $
456 Equity investments Other 6,435 0 0 6,435 Total equity investments $
8,025 $ 1,134 $ 0 $ 6,891 Cash $ 8,258 $ 8,258 $ 0 $ 0 Derivatives, net
(a) 8 0 8 0 Total $ 111,648 $ 13,931 $ 90,826 $ 6,891 (a) Refer to Note
5 – Derivatives for further information on the fair value of our
derivative instruments. Equity investments presented as “Other” in the
tables above include investments without readily determinable fair
values measured using the equity method or measured at cost with
adjustments for observable changes in price or impairments, and
investments m easured at fair value using net asset value as a practical
expedient which are not categorized in the fair value hierarchy. As of
June 30, 2023 and 2022 , equity investments without readily determinable
fair values measured at cost with adjustments for obse rvable changes in
price or impairments were $ 4.2 billion and $3.8 billion , respectively.
Unrealized Losses on Debt Investments Debt investments with continuous
unrealized losses for less than 12 months and 12 months or greater and
their related fair values were as follows: Less than 12 Months 12 Months
or Greater Total Unrealized Losses (In millions) Fair Value Unrealized
Losses Fair Value Unrealized Losses Total Fair Value June 30 , 2023 U.S.
- source_sentence: >-
Identify the bond with the longest maturity date from the provided list
and state its issuer and interest rate.
sentences:
- >-
Liquidity Risk. Liquidity risk is the risk that sufficient cash cannot
be raised to meet liabilities when due. One of the key liquidity factors
influencing the Company and the Funds is exposure to cash redemptions of
redeemable participating shares. Hence the Company, through the Funds,
invests the large majority of its assets in investments that are traded
in active markets and can ordinarily be readily disposed. However,
liquidity risk will occur if an issuer becomes credit-impaired or if the
relevant market becomes illiquid. In such a case, it may not be possible
to initiate or liquidate a position at a price deemed by the Investment
Manager to be demonstrating fair value. Liquidity risk may be temporary
or may last for extended periods. The Company, through the Funds,
invests in securities that form part of the benchmark indices. Benchmark
indices are constructed from index rules requiring securities to have a
specified minimum trading volume, which, although not guaranteeing
liquidity, provides indication of the liquid nature of the securities
underlying the Funds. The Funds are exposed to withdrawals and
contributions that are invested to ensure that exposure to the benchmark
indices is maintained to meet the investment objective of the Funds. All
the Funds ’ financial liabilities, based on contractual maturities, fall
due within three months. Additionally, the Funds may use index futures
contracts to a limited extent, to maintain full exposure to the index,
maintain liquidity and minimise transaction costs. Funds may purchase
futures contracts to immediately invest incoming cash in the market, or
sell futures in response to cash outflows, thereby simulating a fully
invested position in the underlying index while maintaining a cash
balance for liquidity.
- >-
$100,000 2.20% 17/6/2025 94,044 0.00% Wells Fargo & Co. £100,000 2.13%
24/9/2031 94,000 0.00% New York Life Global Funding $100,000 1.45%
14/1/2025 93,999 0.00% PACCAR Financial Corp. $100,000 0.90% 8/11/2024
93,978 0.00% Revvity, Inc. $105,000 3.30% 15/9/2029 93,910 0.00%
Freeport-McMoRan, Inc. $100,000 4.13% 1/3/2028 93,897 0.00% Wells Fargo
Commercial Mortgage Trust 2018 $100,000 4.30% 15/1/2052 93,895 0.00%
Altria Group, Inc. €100,000 3.13% 15/6/2031 93,889 0.00% New York Life
Global Funding $100,000 0.90% 29/10/2024 93,860 0.00% JPMorgan Chase &
Co. $100,000 2.95% 1/10/2026 93,859 0.00% Exelon Corp. $100,000 4.05%
15/4/2030 93,734 0.00% Wells Fargo & Co. $100,000 2.19% 30/4/2026 93,726
0.00% Morgan Stanley $100,000 3.13% 27/7/2026 93,704 0.00% Southwest
Airlines Co. $110,000 2.63% 10/2/2030 93,681 0.00% JPMorgan Chase & Co.
$100,000 1.56% 10/12/2025 93,650 0.00% Equitable Financial Life Global
Funding $100,000 1.10% 12/11/2024 93,632 0.00% Walt Disney Co. $110,000
2.00% 1/9/2029 93,622 0.00% Citigroup, Inc. $100,000 3.20% 21/10/2026
93,617 0.00% PayPal Holdings, Inc. $100,000 1.65% 1/6/2025 93,598 0.00%
Brixmor Operating Partnership LP $100,000 4.13% 15/6/2026 93,553 0.00%
Public Service Electric & Gas Co. $100,000 3.00% 15/5/2027 93,549 0.00%
High Street Funding Trust I $100,000 4.11% 15/2/2028 93,547 0.00%
Invesco Finance plc $96,000 5.38% 30/11/2043 93,545 0.00% Philip Morris
International, Inc. $100,000 1.50% 1/5/2025 93,534 0.00% VICI Properties
LP $100,000 5.13% 15/5/2032 93,481 0.00% Citigroup Commercial Mortgage
Trust 2018 $100,000 4.23% 10/6/2051 93,422 0.00% Air Products &
Chemicals, Inc. €100,000 0.50% 5/5/2028 93,418 0.00% Duke Energy
Progress LLC $150,000 2.50% 15/8/2050 93,415 0.00% General Motors Co.
$100,000 5.95% 1/4/2049 93,381 0.00% Verizon Communications, Inc.
- >-
$65,000 5.00% 15/7/2032 64,094 0.00% Fifth Third Bancorp $75,000 1.71%
1/11/2027 64,024 0.00% Devon Energy Corp. $64,000 5.88% 15/6/2028 63,783
0.00% Pacific Gas & Electric Co. $100,000 3.50% 1/8/2050 63,779 0.00%
Medtronic Global Holdings SCA $65,000 4.50% 30/3/2033 63,708 0.00%
Franklin Resources, Inc. $100,000 2.95% 12/8/2051 63,638 0.00% AT&T,
Inc. $75,000 4.55% 9/3/2049 63,608 0.00% Enterprise Products Operating
LLC $75,000 4.25% 15/2/2048 63,582 0.00% Morgan Stanley Bank of America
Merrill Lynch Trust 2016 $67,746 3.27% 15/1/2049 63,553 0.00% Visa, Inc.
$75,000 3.65% 15/9/2047 63,523 0.00% New York City Municipal Water
Finance Authority $60,000 5.44% 15/6/2043 63,518 0.00% Willis-Knighton
Medical Center $100,000 3.07% 1/3/2051 63,500 0.00% Charter
Communications Operating LLC/Charter Communications Operating Capital
$100,000 3.70% 1/4/2051 63,461 0.00% Johnson & Johnson $60,000 4.95%
15/5/2033 63,221 0.00% Federal Home Loan Mortgage Corp. $75,000 2.07%
25/1/2031 63,215 0.00% CVS Health Corp. $75,000 4.13% 1/4/2040 63,134
0.00% United States Treasury Note $68,000 1.88% 31/7/2026 62,958 0.00%
Enterprise Products Operating LLC $75,000 4.20% 31/1/2050 62,879 0.00%
Commonwealth Edison Co. $75,000 4.00% 1/3/2048 62,849 0.00% Uniform
Mortgage Backed Securities $68,505 2.50% 1/6/2034 62,837 0.00% Federal
Home Loan Mortgage Corp. $75,000 2.02% 25/3/2031 62,832 0.00%
Brighthouse Financial, Inc. $65,000 5.63% 15/5/2030 62,820 0.00% Eli
Lilly & Co. €100,000 1.13% 14/9/2051 62,721 0.00% Stryker Corp. $75,000
1.95% 15/6/2030 62,690 0.00% Cox Communications, Inc. $100,000 2.95%
1/10/2050 62,543 0.00%
- source_sentence: >-
Which issuer has the highest number of bonds listed in the context
information, and what are the details of those bonds?
sentences:
- >-
517 Vanguard EUR Corporate Bond UCITS ETF Principal EUR (€)
CouponMaturity DateFair Value EUR (€)% of Total Net Assets Deutsche
Telekom AG 350,000 1.75% 25/3/2031 312,584 0.02% Volkswagen
International Finance NV 400,000 1.25% 23/9/2032 309,383 0.02% Covestro
AG 300,000 4.75% 15/11/2028 305,772 0.02% Hamburg Commercial Bank AG
300,000 4.88% 17/3/2025 298,161 0.02% MTU Aero Engines AG 300,000 3.00%
1/7/2025 296,850 0.02% Adidas AG 300,000 3.00% 21/11/2025 294,853 0.02%
Knorr-Bremse AG 300,000 3.25% 21/9/2027 294,564 0.02% Eurogrid GmbH
300,000 3.28% 5/9/2031 290,932 0.02% Volkswagen Financial Services AG
300,000 1.50% 1/10/2024 290,663 0.02% Henkel AG & Co. KGaA 300,000 2.63%
13/9/2027 290,397 0.02% Muenchener Hypothekenbank eG 300,000 0.88%
11/7/2024 289,863 0.02% Conti-Gummi Finance BV 300,000 1.13% 25/9/2024
289,074 0.02% Volkswagen Leasing GmbH 300,000 0.00% 19/7/2024 287,414
0.02% HOCHTIEF AG 300,000 1.75% 3/7/2025 286,772 0.02% Santander
Consumer Bank AG 300,000 0.25% 15/10/2024 285,058 0.02% Merck KGaA
300,000 1.63% 25/6/2079 284,407 0.02% Vonovia Finance BV 400,000 2.75%
22/3/2038 283,910 0.02% E.ON SE 300,000 1.00% 7/10/2025 282,765 0.02%
Heraeus Finance GmbH 300,000 2.63% 9/6/2027 281,328 0.02% LEG Immobilien
SE 400,000 1.00% 19/11/2032 278,523 0.02% Covestro AG 300,000 0.88%
3/2/2026 278,048 0.02% Deutsche Post AG 279,000 2.88% 11/12/2024 276,566
0.02% Fresenius Medical Care AG & Co.
- >-
This Annual Report on Form 10-K (“Form 10-K”) contains forward-looking
statements, within the meaning of the Private Securities Litigation
Reform Act of 1995, that involve risks and uncertainties. Many of the
forward-looking statements are located in Part I, Item 1 of this Form
10-K under the heading “Business” and Part II, Item 7 of this Form 10-K
under the heading “Management’s Discussion and Analysis of Financial
Condition and Results of Operations.” Forward-looking statements provide
current expectations of future events based on certain assumptions and
include any statement that does not directly relate to any historical or
current fact. For example, statements in this Form 10-K regarding the
potential future impact of macroeconomic conditions on the Company’s
business and results of operations are forward-looking statements.
Forward- looking statements can also be identified by words such as
“future,” “anticipates,” “believes,” “estimates,” “expects,” “intends,”
“plans,” “predicts,” “will,” “would,” “could,” “can,” “may,” and similar
terms. Forward-looking statements are not guarantees of future
performance and the Company’s actual results may differ significantly
from the results discussed in the forward-looking statements. Factors
that might cause such differences include, but are not limited to, those
discussed in Part I, Item 1A of this Form 10-K under the heading “Risk
Factors.” The Company assumes no obligation to revise or update any
forward-looking statements for any reason, except as required by law.
Unless otherwise stated, all information presented herein is based on
the Company’s fiscal calendar, and references to particular years,
quarters, months or periods refer to the Company’s fiscal years ended in
September and the associated quarters, months and periods of those
fiscal years. Each of the terms the “Company” and “Apple” as used herein
refers collectively to Apple Inc. and its wholly owned subsidiaries,
unless otherwise stated. PART I Item 1. Business Company Background The
Company designs, manufactures and markets smartphones, personal
computers, tablets, wearables and accessories, and sells a variety of
related services. The Company’s fiscal year is the 52- or 53-week period
that ends on the last Saturday of September. Products iPhone iPhone® is
the Company’s line of smartphones based on its iOS operating system. The
iPhone line includes iPhone 15 Pro, iPhone 15, iPhone 14, iPhone 13 and
iPhone SE®. Mac Mac® is the Company’s line of personal computers based
on its macOS® operating system. The Mac line includes laptops MacBook
Air® and MacBook Pro®, as well as desktops iMac®, Mac mini®, Mac Studio®
and Mac Pro®. iPad iPad® is the Company’s line of multipurpose tablets
based on its iPadOS® operating system. The iPad line includes iPad Pro®,
iPad Air®, iPad and iPad mini®. Wearables, Home and Accessories
Wearables includes smartwatches and wireless headphones. The Company’s
line of smartwatches, based on its watchOS® operating system, includes
Apple Watch Ultra™ 2, Apple Watch® Series 9 and Apple Watch SE®. The
Company’s line of wireless headphones includes AirPods®, AirPods Pro®,
AirPods Max™ and Beats® products. Home includes Apple TV®, the Company’s
media streaming and gaming device based on its tvOS® operating system,
and HomePod® and HomePod mini®, high-fidelity wireless smart speakers.
Accessories includes Apple-branded and third-party accessories. Apple
Inc. | 2023 Form 10-K | 1
- >-
Refer to “Note 2 Accounting for the acquisition of the Credit Suisse
Group” in the “Cons olidated financial statements” section of the UBS
Group Annual Report 2023, available under “Annual reporting” at
ubs.com/investors, for more information. 2 Refer to the “Share
information and earnings per share” section of the UBS Group first
quarter 2024 report, available under “Quarterly reporting” at
ubs.com/investors, for more information. 3 Refer to the “Targets,
capital guidance and ambitions” section of the UBS Group Annual Report
2023, available under “Annual reporting” at ubs.com/investors, for more
information about our performance targets. 4 Refer to “Alternative
performance measures” in the appendix to the UBS Group first quarter
2024 report, available under “Quarterly reporting” at ubs.com/investors,
for the definition and calculation method. 5 Profit or loss information
for each of the first quarter of 2024 and the fourth quarter of 2023 is
presented on a consolidated basis, including for each quarter Credit
Suisse data for three months and for the purpose of the calculatio n of
return measures has been annualized multiplying such by four. Profit or
loss information for the first quarter of 2023 includes pre-acquisition
UBS data for three months and for the purpose of the calculation of
return measures has been annualized multiplying such by four. 6 Refer to
the “Group performance” section of the UBS Group first quarter 2024
report, available under “Quarterly reporting” at ubs.com/investors, for
more information about underlying results. 7 The effective tax rate for
the fourth quarter of 2023 is not a meaningful measure, due to the
distortive effect of current unbenefited tax losses at the form er
Credit Suisse entities. 8 Based on the Swiss systemically relevant bank
framework as of 1 January 2020. Refer to the “Capital management”
section of the UBS Group first quarter 2024 report, available under
“Quarterly reporting” at ubs.com/inv estors, for more information. 9 The
disclosed ratios represent quarterly averages for the quarters presented
and are calculated based on an average of 61 data points in the first
quarter of 2024, 63 data points in the fourth quarter of 2023 and 64
data points i n the first quarter of 2023. Refer to the “Liquidity and
funding management” section of the UBS Group first quarter 2024 repo rt,
available under “Quarterly reporting” at ubs.com/investors, for more
information. 10 Consists of invested assets for Global Wealth
Management, Asset Management and Personal & Corporate Banking. Refer to
“Note 32 Invested assets and net new money” in the “Consolidated
financial statements” section of the UBS Group Annual Report 2023,
available under “Annual reporting” at ubs.co m/investors, for more
information. 11 Starting with the second quarter of 2023, invested
assets include invested assets from associates in the Asset Management
business division, to better reflect the business strategy. Comparative
figures have been rest ated to reflect this change. 12 In the second
quarter of 2023, the calculation of market capitalization was amended to
reflect total shares issued multiplied by the share price at the end of
the period. The calculation was previously based on total shar es
outstanding multiplied by the share price at the end of the period.
Market capitalization was increased by USD 10.0bn as of 31 March 2023 as
a result.
- source_sentence: >-
What factors contributed to the negative performance of global bonds over
the 12-month period?
sentences:
- >-
Vanguard Global Aggregate Bond UCITS ETF Managed by Vanguard Global
Advisers, LLC.561 Investment Objective Vanguard Global Aggregate Bond
UCITS ETF seeks to track the performance of the Bloomberg Global
Aggregate Float Adjusted and Scaled Index, a widely recognised benchmark
designed to reflect the characteristics of the global aggregate bond
universe. Performance Summary (unaudited) The Performance Summary does
not form part of the Financial Statements. • Inflation and policymakers’
efforts to rein it in took centre stage for the financial markets during
much of the 12 months ended 30 June 2023. • Early in the period, energy
prices continued to cool amid an outlook for slower economic growth, but
price increases then broadened to other categories, notably the services
sector, which felt the effects of tight labour markets. Central banks
including the US Federal Reserve, the European Central Bank and the Bank
of England reacted to the prospect of inflation remaining stubbornly
high by aggressively hiking interest rates even as their actions fanned
fears of a global recession down the road. • Although progress was slow,
signs of inflation moderating later in the period led several major
central banks to slow the pace of their interest rate hikes or even hit
the pause button. • Bonds suffered early in the fiscal year amid
aggressive rate hiking and later when markets began to anticipate that
rates would remain higher for longer. With rising yields pushing prices
down, global bonds ended the 12 months in negative territory. • In this
environment, the ETF ’s benchmark index returned –0.09% for the fiscal
year. • By country, the United States, the largest constituent in the
index by far, underperformed the index, returning –0.94%. Belgium, the
UK and the Netherlands were also among the laggards. Canada, Japan,
China and South Korea outperformed and were in positive territory. • By
sector, corporate and non-corporate bonds fared better than government
bonds and US mortgage-backed securities. • By credit quality, bonds on
the bottom rung of the investment-grade ladder tended to perform better
than higher-rated bonds. By maturity, longer-dated bonds lagged.
Benchmark returns in the commentary above are in US dollars.
- >-
$25,000 4.55% 1/3/2029 23,455 0.00% Eaton Corp. $25,000 3.10% 15/9/2027
23,451 0.00% Penske Truck Leasing Co. LP/PTL Finance Corp. $25,000 4.20%
1/4/2027 23,448 0.00% Tri-State Generation & Transmission Association,
Inc. $25,000 6.00% 15/6/2040 23,446 0.00% AEP Transmission Co. LLC
$25,000 3.10% 1/12/2026 23,440 0.00% Target Corp. $25,000 3.38%
15/4/2029 23,439 0.00% JM Smucker Co. $25,000 3.38% 15/12/2027 23,419
0.00% AmerisourceBergen Corp. $25,000 3.45% 15/12/2027 23,403 0.00%
Lowe's Cos, Inc. $25,000 2.50% 15/4/2026 23,399 0.00% McCormick & Co.,
Inc. $25,000 3.40% 15/8/2027 23,399 0.00% Wells Fargo Commercial
Mortgage Trust 2018 $25,000 4.18% 15/6/2051 23,399 0.00% Raytheon
Technologies Corp. $25,000 3.13% 4/5/2027 23,398 0.00% Wells Fargo
Commercial Mortgage Trust 2018 $25,000 4.15% 15/8/2051 23,398 0.00%
Masco Corp. $25,000 3.50% 15/11/2027 23,394 0.00% Southern Power Co.
$25,000 5.15% 15/9/2041 23,379 0.00% Kirby Corp. $25,000 4.20% 1/3/2028
23,378 0.00% UBS Commercial Mortgage Trust 2018 $25,000 4.34% 15/12/2051
23,376 0.00% UDR, Inc. $25,000 3.50% 1/7/2027 23,375 0.00% Citigroup
Commercial Mortgage Trust 2016 $25,000 3.35% 10/2/2049 23,368 0.00% BANK
2018 $25,000 4.05% 15/3/2061 23,365 0.00% Northwestern Mutual Life
Insurance Co. $30,000 3.85% 30/9/2047 23,364 0.00% Southern California
Edison Co. $25,000 3.65% 1/3/2028 23,357 0.00% Citigroup Commercial
Mortgage Trust 2016 $25,000 3.62% 10/2/2049 23,344 0.00% Morgan Stanley
Capital I Trust 2016 $24,970 3.33% 15/3/2049 23,332 0.00% Verizon
Communications, Inc. $25,000 4.02% 3/12/2029 23,321 0.00% Raytheon
Technologies Corp. $25,000 4.80% 15/12/2043 23,289 0.00% Georgia Power
Co. $25,000 3.25% 30/3/2027 23,286 0.00% Bio-Rad Laboratories, Inc.
$25,000 3.30% 15/3/2027 23,269 0.00% FedEx Corp.
- >-
Note 26. Credit Concentrations The firm’s concentrations of credit risk
arise from its market- making, client facilitation, investing,
underwriting, lending and collateralized transactions, and cash
management activities, and may be impacted by changes in economic,
industry or political factors. These activities expose the firm to many
different industries and counterparties, and may also subject the firm
to a concentration of credit risk to a particular central bank,
counterparty, borrower or issuer, including sovereign issuers, or to a
particular clearinghouse or exchange. The firm seeks to mitigate credit
risk by actively monitoring exposures and obtaining collateral from
counterparties as deemed appropriate. The firm measures and monitors its
credit exposure based on amounts owed to the firm after taking into
account risk mitigants that the firm considers when determining credit
risk. Such risk mitigants include netting and collateral arrangements
and economic hedges, such as credit derivatives, futures and forward
contracts. Netting and collateral agreements permit the firm to offset
receivables and payables with such counterparties and/or enable the firm
to obtain collateral on an upfront or contingent basis. The table below
presents the credit concentrations included in trading cash instruments
and investments. As of December $ in millions 2023 2022 U.S. government
and agency obligations $ 260,531 $ 205,935 Percentage of total assets
15.9% 14.3% Non-U.S. government and agency obligations $ 90,681 $ 40,334
Percentage of total assets 5.5% 2.8% In addition, the firm had $206.07
billion as of December 2023 and $208.53 billion as of December 2022 of
cash deposits held at central banks (included in cash and cash
equivalents), of which $105.66 billion as of December 2023 and $165.77
billion as of December 2022 was held at the Federal Reserve. As of both
December 2023 and December 2022 , the firm did not have credit exposure
to any other counterparty that exceeded 2% of total assets. Collateral
obtained by the firm related to derivative assets is principally cash
and is held by the firm or a third-party custodian. Collateral obtained
by the firm related to resale agreements and securities borrowed
transactions is primarily U.S. government and agency obligations, and
non-U.S. government and agency obligations. See Note 11 for further
information about collateralized agreements and financings. The table
below presents U.S. government and agency obligations, and non-U.S.
government and agency obligations that collateralize resale agreements
and securities borrowed transactions. As of December $ in millions 2023
2022 U.S. government and agency obligations $ 154,056 $ 164,897 Non-U.S.
government and agency obligations $ 92,833 $ 76,456 In the table above:
•Non-U.S. government and agency obligations primarily consists of
securities issued by the governments of the U.K., Japan, Germany, France
and Italy. •Given that the firm’s primary credit exposure on such
transactions is to the counterparty to the transaction, the firm would
be exposed to the collateral issuer only in the event of counterparty
default. Note 27. Legal Proceedings The firm is involved in a number of
judicial, regulatory and arbitration proceedings (including those
described below) concerning matters arising in connection with the
conduct of the firm’s businesses. Many of these proceedings are in early
stages, and many of these cases seek an indeterminate amount of damages.
Under ASC 450, an event is “reasonably possible” if “the chance of the
future event or events occurring is more than remote but less than
likely” and an event is “remote” if “the chance of the future event or
events occurring is slight.” Thus, references to the upper end of the
range of reasonably possible loss for cases in which the firm is able to
estimate a range of reasonably possible loss mean the upper end of the
range of loss for cases for which the firm believes the risk of loss is
more than slight. THE GOLDMAN SACHS GROUP, INC. AND SUBSIDIARIES Notes
to Consolidated Financial Statements 216 Goldman Sachs 2023 Form 10-K
model-index:
- name: SentenceTransformer based on BAAI/bge-base-en-v1.5
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: Unknown
type: unknown
metrics:
- type: cosine_accuracy@1
value: 0.4418505942275042
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6752971137521222
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7625919637804188
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8507357102433503
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4418505942275042
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.22509903791737407
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.15251839275608375
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08507357102433502
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4418505942275042
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6752971137521222
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7625919637804188
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8507357102433503
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6432422811456076
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5770132656911126
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5834691562837875
name: Cosine Map@100
- type: dot_accuracy@1
value: 0.4418505942275042
name: Dot Accuracy@1
- type: dot_accuracy@3
value: 0.6752971137521222
name: Dot Accuracy@3
- type: dot_accuracy@5
value: 0.7625919637804188
name: Dot Accuracy@5
- type: dot_accuracy@10
value: 0.8507357102433503
name: Dot Accuracy@10
- type: dot_precision@1
value: 0.4418505942275042
name: Dot Precision@1
- type: dot_precision@3
value: 0.22509903791737407
name: Dot Precision@3
- type: dot_precision@5
value: 0.15251839275608375
name: Dot Precision@5
- type: dot_precision@10
value: 0.08507357102433502
name: Dot Precision@10
- type: dot_recall@1
value: 0.4418505942275042
name: Dot Recall@1
- type: dot_recall@3
value: 0.6752971137521222
name: Dot Recall@3
- type: dot_recall@5
value: 0.7625919637804188
name: Dot Recall@5
- type: dot_recall@10
value: 0.8507357102433503
name: Dot Recall@10
- type: dot_ndcg@10
value: 0.6432422811456076
name: Dot Ndcg@10
- type: dot_mrr@10
value: 0.5770132656911126
name: Dot Mrr@10
- type: dot_map@100
value: 0.5834691562837875
name: Dot Map@100
SentenceTransformer based on BAAI/bge-base-en-v1.5
This is a sentence-transformers model finetuned from BAAI/bge-base-en-v1.5. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
Model Details
Model Description
- Model Type: Sentence Transformer
- Base model: BAAI/bge-base-en-v1.5
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 768 tokens
- Similarity Function: Cosine Similarity
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sujet-ai/Marsilia-Embedding-EN-base")
# Run inference
sentences = [
'What factors contributed to the negative performance of global bonds over the 12-month period?',
'Vanguard Global Aggregate Bond UCITS ETF Managed by Vanguard Global Advisers, LLC.561 Investment Objective Vanguard Global Aggregate Bond UCITS ETF seeks to track the performance of the Bloomberg Global Aggregate Float Adjusted and Scaled Index, a widely recognised benchmark designed to reflect the characteristics of the global aggregate bond universe. Performance Summary (unaudited) The Performance Summary does not form part of the Financial Statements. • Inflation and policymakers’ efforts to rein it in took centre stage for the financial markets during much of the 12 months ended 30 June 2023. • Early in the period, energy prices continued to cool amid an outlook for slower economic growth, but price increases then broadened to other categories, notably the services sector, which felt the effects of tight labour markets. Central banks including the US Federal Reserve, the European Central Bank and the Bank of England reacted to the prospect of inflation remaining stubbornly high by aggressively hiking interest rates even as their actions fanned fears of a global recession down the road. • Although progress was slow, signs of inflation moderating later in the period led several major central banks to slow the pace of their interest rate hikes or even hit the pause button. • Bonds suffered early in the fiscal year amid aggressive rate hiking and later when markets began to anticipate that rates would remain higher for longer. With rising yields pushing prices down, global bonds ended the 12 months in negative territory. • In this environment, the ETF ’s benchmark index returned –0.09% for the fiscal year. • By country, the United States, the largest constituent in the index by far, underperformed the index, returning –0.94%. Belgium, the UK and the Netherlands were also among the laggards. Canada, Japan, China and South Korea outperformed and were in positive territory. • By sector, corporate and non-corporate bonds fared better than government bonds and US mortgage-backed securities. • By credit quality, bonds on the bottom rung of the investment-grade ladder tended to perform better than higher-rated bonds. By maturity, longer-dated bonds lagged. Benchmark returns in the commentary above are in US dollars.',
'Note 26. Credit Concentrations The firm’s concentrations of credit risk arise from its market- making, client facilitation, investing, underwriting, lending and collateralized transactions, and cash management activities, and may be impacted by changes in economic, industry or political factors. These activities expose the firm to many different industries and counterparties, and may also subject the firm to a concentration of credit risk to a particular central bank, counterparty, borrower or issuer, including sovereign issuers, or to a particular clearinghouse or exchange. The firm seeks to mitigate credit risk by actively monitoring exposures and obtaining collateral from counterparties as deemed appropriate. The firm measures and monitors its credit exposure based on amounts owed to the firm after taking into account risk mitigants that the firm considers when determining credit risk. Such risk mitigants include netting and collateral arrangements and economic hedges, such as credit derivatives, futures and forward contracts. Netting and collateral agreements permit the firm to offset receivables and payables with such counterparties and/or enable the firm to obtain collateral on an upfront or contingent basis. The table below presents the credit concentrations included in trading cash instruments and investments. As of December $ in millions 2023 2022 U.S. government and agency obligations $ 260,531 $ 205,935 Percentage of total assets 15.9% 14.3% Non-U.S. government and agency obligations $ 90,681 $ 40,334 Percentage of total assets 5.5% 2.8% In addition, the firm had $206.07 billion as of December 2023 and $208.53 billion as of December 2022 of cash deposits held at central banks (included in cash and cash equivalents), of which $105.66 billion as of December 2023 and $165.77 billion as of December 2022 was held at the Federal Reserve. As of both December 2023 and December 2022 , the firm did not have credit exposure to any other counterparty that exceeded 2% of total assets. Collateral obtained by the firm related to derivative assets is principally cash and is held by the firm or a third-party custodian. Collateral obtained by the firm related to resale agreements and securities borrowed transactions is primarily U.S. government and agency obligations, and non-U.S. government and agency obligations. See Note 11 for further information about collateralized agreements and financings. The table below presents U.S. government and agency obligations, and non-U.S. government and agency obligations that collateralize resale agreements and securities borrowed transactions. As of December $ in millions 2023 2022 U.S. government and agency obligations $ 154,056 $ 164,897 Non-U.S. government and agency obligations $ 92,833 $ 76,456 In the table above: •Non-U.S. government and agency obligations primarily consists of securities issued by the governments of the U.K., Japan, Germany, France and Italy. •Given that the firm’s primary credit exposure on such transactions is to the counterparty to the transaction, the firm would be exposed to the collateral issuer only in the event of counterparty default. Note 27. Legal Proceedings The firm is involved in a number of judicial, regulatory and arbitration proceedings (including those described below) concerning matters arising in connection with the conduct of the firm’s businesses. Many of these proceedings are in early stages, and many of these cases seek an indeterminate amount of damages. Under ASC 450, an event is “reasonably possible” if “the chance of the future event or events occurring is more than remote but less than likely” and an event is “remote” if “the chance of the future event or events occurring is slight.” Thus, references to the upper end of the range of reasonably possible loss for cases in which the firm is able to estimate a range of reasonably possible loss mean the upper end of the range of loss for cases for which the firm believes the risk of loss is more than slight. THE GOLDMAN SACHS GROUP, INC. AND SUBSIDIARIES Notes to Consolidated Financial Statements 216 Goldman Sachs 2023 Form 10-K',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
Evaluation
Metrics
Information Retrieval
- Evaluated with
InformationRetrievalEvaluator
| Metric | Value |
|---|---|
| cosine_accuracy@1 | 0.4419 |
| cosine_accuracy@3 | 0.6753 |
| cosine_accuracy@5 | 0.7626 |
| cosine_accuracy@10 | 0.8507 |
| cosine_precision@1 | 0.4419 |
| cosine_precision@3 | 0.2251 |
| cosine_precision@5 | 0.1525 |
| cosine_precision@10 | 0.0851 |
| cosine_recall@1 | 0.4419 |
| cosine_recall@3 | 0.6753 |
| cosine_recall@5 | 0.7626 |
| cosine_recall@10 | 0.8507 |
| cosine_ndcg@10 | 0.6432 |
| cosine_mrr@10 | 0.577 |
| cosine_map@100 | 0.5835 |
| dot_accuracy@1 | 0.4419 |
| dot_accuracy@3 | 0.6753 |
| dot_accuracy@5 | 0.7626 |
| dot_accuracy@10 | 0.8507 |
| dot_precision@1 | 0.4419 |
| dot_precision@3 | 0.2251 |
| dot_precision@5 | 0.1525 |
| dot_precision@10 | 0.0851 |
| dot_recall@1 | 0.4419 |
| dot_recall@3 | 0.6753 |
| dot_recall@5 | 0.7626 |
| dot_recall@10 | 0.8507 |
| dot_ndcg@10 | 0.6432 |
| dot_mrr@10 | 0.577 |
| dot_map@100 | 0.5835 |
Training Details
Training Dataset
Unnamed Dataset
- Size: 98,400 training samples
- Columns:
sentence_0andsentence_1 - Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 type string string details - min: 13 tokens
- mean: 24.55 tokens
- max: 57 tokens
- min: 26 tokens
- mean: 468.34 tokens
- max: 512 tokens
- Samples:
sentence_0 sentence_1 What is the potential impact of converting Series A Preferred Stock on the Company's capital structure?Company’s subsidiaries or consolidated affiliates) and implementing capital standards published by the Basel Committee on Banking Supervision, the SEC, the Board of Governors of the Federal Reserve System (the “Federal Reserve Board”) or any other United States national governmental body, or any other applicable regime based on capital standards published by the Basel Committee on Banking Supervision or its successor, or (iii) provides for a type of capital that in the Company’s judgment (after consultation with counsel of recognized standing) is substantially equivalent to such “Tier 1” capital (such capital described in either (ii) or (iii) is referred to below as “Tier 1 Capital Equivalent”), and • the Company affirmatively elects to qualify the Series A Preferred Stock for such Allowable Capital or Tier 1 Capital Equivalent treatment without any sublimit or other quantitative restriction on the inclusion of the Series A Preferred Stock in Allowable Capital or Tier 1 Capital Equivalent (other than any limitation the Company elects to accept and any limitation requiring that common equity or a specified form of common equity constitute the dominant form of Allowable Capital or Tier 1 Capital Equivalent) under such regulations, then, upon such affirmative election, the Series A Preferred Stock shall be convertible at the Company’s option into a new series of preferred stock having terms and provisions substantially identical to those of the Series A Preferred Stock, except that such new series may have such additional or modified rights, preferences, privileges and voting powers, and such limitations and restrictions thereof, as are necessary, in the Company’s judgment (after consultation with counsel of recognized standing), to comply with the Required Unrestricted Capital Provisions (defined below), provided that the Company will not cause any such conversion unless the Company determines that the rights, preferences, privileges and voting powers of such new series of preferred stock, taken as a whole, are not materially less favorable to the holders thereof than the rights, preferences, privileges and voting powers of the Series A Preferred Stock, taken as a whole. For example, the Company could agree to restrict its ability to pay dividends on or redeem the new series of preferred stock for a specified period or indefinitely, to the extent permitted by the terms and provisions of the new series of preferred stock, since such a restriction would be permitted in the Company’s discretion under the terms and provisions of the Series A Preferred Stock. The Company will provide notice to holders of the Series A Preferred Stock of any election to qualify the Series A Preferred Stock for Allowable Capital or Tier 1 Capital Equivalent treatment and of any determination to convert the Series A Preferred Stock into a new series of preferred stock, promptly upon the effectiveness of any such election or determination. A copy of any such notice and of the relevant regulations will be on file at the Company’s principal offices and, upon request, will be made available to any stockholder. As used above, the term “Required Unrestricted Capital Provisions” means the terms that are, in the Company’s judgment (after consultation with counsel of recognized standing), required for preferred stock to be treated as Allowable Capital or Tier 1 Capital Equivalent, as applicable, without any sublimit or other quantitative restriction on the inclusion of such preferred stock in Allowable Capital or Tier 1 Capital Equivalent (other than any limitation the Company elects to accept and any limitation requiring that common equity or a specified form of common equity constitute the dominant form of Allowable Capital or Tier 1 Capital Equivalent) pursuant to applicable regulations. Voting Rights Except as provided below, the holders of the Series A Preferred Stock have no voting rights. Whenever dividends on any shares of the Series A Preferred Stock shall have not been declared and paid for the equivalent of six or more dividend payments, whether or not for consecutive dividend periods (as used in this section, a “Nonpayment”), the holders of such shares, voting together as a class with holders of any and all other series of voting preferred stock (as defined below) then outstanding, will be entitled to vote for the election of a total of two additional members of the Company’s board of directors (as used in this section, the “Preferred Stock Directors”), provided that the election of any such directors shall not cause the Company to violate the corporate governance requirement of the New York Stock Exchange (or any other exchange on which the Company’s securities may be listed) that listed companies must have a majority of independent directors.What is the age limit for general partners to serve in their capacity according to the Partnership Agreement?PART III 74 ITEM 10. DIRECTORS, EXECUTIVE OF FICERS AND CORPORATE GOVERNANCE JFC does not have a board of directors. As of February 23, 2024, the Partners hip was composed of 33,857 individual partners, many of whom hold more than one type of partnership interest. Of those individuals, as of February 23, 2024, 610 were general partners, and 33,687 were limited par tners and 720 were subordinated limited partners. Managing Partner. Under the terms of the Partner ship Agreement, the Managing Partne r has primary responsibility for administering the Partnership’s business, determining its policies, and controlling the management and conduct of the Partnership’s business. Under the terms of the Partnership Agreement, the Managi ng Partner's powers include, without limitation, the power to admit and dismiss gene ral partners and the power to adjust t he proportion of their respective interest s in the Partnership. The Managing Partner serves for an indefin ite term and may be removed by a majority vote of the ELT (as discussed below) or a vote of the general partners holding a majority percentage ownership in the Partnership. If at any time the office of the Managing Partner is vacant, the ELT will succeed to all the powers and duties of the Managing Partner until a new Managing Partner is elected by a majority of the EL T. The Partnership’s operating subsidiaries are managed by JFC, under the leadership of the Managing Part ner, pursuant to services agreements. Enterprise Leadership Team. The ELT consists of the Managing Partner and up to 15 additional general partners appointed by the Managing Partner, with the specific number determined by the Managing Partner. Under the terms of the Partnership Agreement, the members of the ELT are the executive officers of the Partnership. The purpose of the ELT is to provide counsel and advice to the Managing Partner in discharging thei r functions, including the consideration of ownership of Partnership capital, ensuring the Part nership’s business risks are managed approp riately and helping to establish the strategic direction of the Partne rship. In addition, the ELT takes an active ro le in identifying, measuring and controlling the risks to which the Partnership is subject. ELT members serve for an indefinite term and may be removed by the Managing Partner or a vote of general partners holding a majority percent age ownership in the Partnership. Furthermore, in the event the position of Managing Partner is vacant, the ELT shall su cceed to all of the powers and duties of the Managing Partner until a new Managing Partner is elected by a majority of the ELT. The Partnership does not have a formal code of ethics that applies to its ELT members, as it relies on the core values and beliefs of the Partnership, as well as the Partnership Agreement. Throughout all of 2023, the ELT included Penny Pennington, Chairman, Andrew Miedler, Kenneth Cella, Jr., David Chubak, Lisa Dolan, David Gunn, Lena Haas, Tina Hrevus, Kristin Johnson, Francis LaQuinta, Hasan Malik, Suzan McDaniel, Timothy Rea and Wayne Roberts. Chris Lewis also serv ed as a member of the ELT prior to his retirement effective March 1, 2023. Effective January 8, 2024, the Managing Part ner appointed Keir Gumbs, General Counsel, to the ELT. The following table is a listing as of February 23, 2024 of t he members of the ELT, the year in which each member became a general partner and each member’s area of responsibility. Under the terms of the Partnership Agreement, all general partners, including the members of the ELT, are required to reti re in their capacity as general partners by the end of the calendar year during which they turn the age of 65. The members’ biographies are below. Enterprise General Name Age Leadership Team Partner Area of Responsibilit y Penn y Pennin gton 60 2014 2006 Mana ging Partner Andrew Miedler 46 2021 2011 Chief Financial Officer Kenneth Cella, Jr. 54 2014 2002 Head of External Affairs and Communit y Engagemen t David Chubak 43 2022 2022 Head of U.S.How does the face value of the bond issued by Biogen, Inc. compare to that of the bond issued by KLA Corp.?$20,000 1.65% 11/5/2030 16,844 0.00% Wyeth LLC $15,000 6.50% 1/2/2034 16,841 0.00% VeriSign, Inc. $20,000 2.70% 15/6/2031 16,655 0.00% Walgreens Boots Alliance, Inc. $20,000 4.80% 18/11/2044 16,573 0.00% Amgen, Inc. $20,000 4.20% 22/2/2052 16,571 0.00% UnitedHealth Group, Inc. $20,000 3.75% 15/10/2047 16,447 0.00% Motorola Solutions, Inc. $20,000 2.75% 24/5/2031 16,400 0.00% DH Europe Finance II Sarl $20,000 3.25% 15/11/2039 16,294 0.00% Corning, Inc. $20,000 4.38% 15/11/2057 16,262 0.00% Citigroup, Inc. CAD22,000 4.09% 9/6/2025 16,050 0.00% Humana, Inc. $20,000 2.15% 3/2/2032 15,781 0.00% Aptiv plc $25,000 3.10% 1/12/2051 15,700 0.00% JPMorgan Chase & Co. $15,000 5.50% 15/10/2040 15,465 0.00% Citigroup, Inc. $19,000 2.52% 3/11/2032 15,313 0.00% Bank of New York Mellon Corp. $15,000 5.80% 25/10/2028 15,280 0.00% QUALCOMM, Inc. $20,000 3.25% 20/5/2050 15,032 0.00% Biogen, Inc. $15,000 5.20% 15/9/2045 14,997 0.00% KLA Corp. $15,000 4.65% 15/7/2032 14,947 0.00% Stanley Black & Decker, Inc. $25,000 2.75% 15/11/2050 14,896 0.00% Simon Property Group LP $20,000 3.80% 15/7/2050 14,796 0.00% Wachovia Corp. $15,000 5.50% 1/8/2035 14,693 0.00% Alexandria Real Estate Equities, Inc. $20,000 1.88% 1/2/2033 14,636 0.00% Crown Castle, Inc. $15,000 3.20% 1/9/2024 14,536 0.00% Motorola Solutions, Inc. $15,000 4.60% 23/5/2029 14,515 0.00% Morgan Stanley $15,000 3.88% 27/1/2026 14,476 0.00% Truist Financial Corp. $15,000 2.50% 1/8/2024 14,466 0.00% Royalty Pharma plc $20,000 3.30% 2/9/2040 14,239 0.00% Boston Properties LP $15,000 3.20% 15/1/2025 14,227 0.00% Texas Instruments, Inc. $15,000 1.38% 12/3/2025 14,092 0.00% American Express Credit Corp. $15,000 3.30% 3/5/2027 14,079 0.00% McCormick & Co., Inc. - Loss:
MultipleNegativesRankingLosswith these parameters:{ "scale": 20.0, "similarity_fct": "cos_sim" }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy: stepsper_device_train_batch_size: 200per_device_eval_batch_size: 200num_train_epochs: 10batch_sampler: no_duplicatesmulti_dataset_batch_sampler: round_robin
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 200per_device_eval_batch_size: 200per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 10max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.0warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Falsehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseeval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falsebatch_sampler: no_duplicatesmulti_dataset_batch_sampler: round_robin
Training Logs
| Epoch | Step | Training Loss | cosine_map@100 |
|---|---|---|---|
| 0.2033 | 100 | - | 0.5090 |
| 0.4065 | 200 | - | 0.5376 |
| 0.6098 | 300 | - | 0.5487 |
| 0.8130 | 400 | - | 0.5595 |
| 1.0 | 492 | - | 0.5716 |
| 1.0163 | 500 | 2.1266 | 0.5707 |
| 1.2195 | 600 | - | 0.5745 |
| 1.4228 | 700 | - | 0.5784 |
| 1.6260 | 800 | - | 0.5789 |
| 1.8293 | 900 | - | 0.5807 |
| 2.0 | 984 | - | 0.5835 |
Framework Versions
- Python: 3.10.13
- Sentence Transformers: 3.0.1
- Transformers: 4.42.3
- PyTorch: 2.5.0.dev20240704+cu124
- Accelerate: 0.32.1
- Datasets: 2.20.0
- Tokenizers: 0.19.1
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
MultipleNegativesRankingLoss
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}